Alright. Here we are. The end of another quarter, with only one quarter left here until I’m gone. This quarter has been a good example of my willingness to stick to a schedule, and my ability to work hard without needing much rest, if I remain consistent, which I can get into more detail about after I discuss what I have done throughout the quarter. So, to begin, I started the quarter knowing that my college courses were about two weeks away, and I had some remaining work from pre-calculus. I also at the time had just finished all of my college applications, and was freaking out about the entire college application process. So, I prioritized communication and obsessively checked my college portals pretty much every day, however, I also was working on finishing my precalculus course. I don’t remember my exact grade in that class, but I knew it was above a 96, so I was pretty happy with that. At the time of completion, I ramped up my focus on the AEC, reading more research papers. This didn’t really result into any tangible achievements, but it did lead to more knowledge of working with the math that I need to work on now. So, I started my college courses and I was just a huge wreck. In the first two weeks, I learned that Calculus had a recommended daily study time of 2 hours, and stats assigned hundreds of pages of reading every week. Now, not only did I really forget that I can handle these things, but they also weren’t true after 3 weeks. After this time period, I learned that I probably had to spend about an hour every other day for each course outside of the class, because I normally am able to fully understand the information at the first ‘pass’ (during lecture) and this is because in both statistics and calculus, I have studied extensively past the points that are gone over in class, because of Deep Learning. So everytime I hear about regression, plotting data, outliers, generalization, integration, differentiation, etc, I know what the word means, under deep learning context, and then all I have to learn is the method that we do in class, and I don’t spend any time thinking about what the thing I am doing is conceptually. This saves, TONS of time. Other small things that have helped me have been the notes that I take, knowing my schedule, and keeping up with all of the homework assignments. As of March 8th (wow, I just realized that I have 2 months left in my courses (finals are may 8th)), In Statistics, I have a 100%, and in Calculus, I have a 97.63%.
So the other big thing this quarter has been working on my AEC / GRP project, and oh boy, is that not frightening to think about. So, I am at the point where I know what I want to do, but I am hitting a wall with going through with it. This is because I have gone over the math of the paper that I am reading, and the specific thing that I am trying to go over, I estimate I know about 90% of what’s going on. My problem, is that I am using the tensorflow library to try and make a copy of the equation that I am trying to replicate, but my programming abilities are starting to show that this is really hard to think about. It’s not because I am under experienced (well, in a sense, it is exactly because of that), but that this thing that I am trying to do is pretty difficult to see how it works. I am currently trying to write the code, but keeping up with my courses takes me away from fully investing myself with the problem-solving day-to-day, which I anticipate “spring break” can assist me. By having the extra time, I might be able to pull off creating a schedule where I can work daily. Anyways, my progress has still been a ton this quarter. I went from kind of knowing what I am doing for my project to knowing the next step at all times, which is the important feeling that I need to have working through this, especially while being closer to the presentation date. I know that I will be ready to present when the time comes. Also, I accepted that this project won’t be completely done at the time of the conference, and have adjusted accordingly. I will still present, just not a complete project.
So then, I would say that the third biggest thing this quarter is the adjustments to my health. So, at the end, to list everything that I have done…

New workout schedule every Tuesday & Thursday, sometimes Saturdays
Quit added Sugar (whole, non-juiced fruit ok)
Sleep at 10:00, wake up at 5:30 consistently (even weekends)
Hot-Cold Therapy (Sauna & Cold-shower)
Foam rolling & stretching
Focus on protein intake (average fish intake = 1 lb every 24 hours)

So that’s a lot, and honestly, I think it’s crazy that I have changed all of these aspects, but everything has allowed me to perform better, but there is one thing that I think is hurting me, which is the sleep. I think I need more, but it is really difficult to change, because waking up in the morning early is really important to me because it allows me to eat a healthy breakfast and start my momentum for the day. Then, the other thing, is that I get home at 8:00 80% of the weekdays, normally taking an hour for dinner, and doing some rest activity. So the thing I will be experimenting with soon will be going to bed earlier.

There has been some stuff with fencing this quarter that is not much, but kind of worth mentioning. I started watching a lot more fencing content on youtube, and I am performing well at my tournaments, to the point where my worst tournament this quarter (one that during, while I didn’t know the point standings, was beating myself up for doing so bad) I was right at the 50th percentile at the end, so that was what felt like my worst. I look forward to the end of the season, and I have a tournament (rjcc) the day after the presentation, which i am looking forwards to.

My plan for next quarter is simply to remain what I have been doing, especially replicating the post-panic stage of this quarter.

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Goal 1: AEC
1 Reflection: I honestly didn't make any progress with this, kind of just here and there I was working on understanding my problem but I was unable to wrap my head around a possible fix. I was inturrupted by my presentation, and the preparation for it, and at the end, I figured this was an acceptable cause. I will be able to dedicate all day tomorrow towards the AEC, however with breaks of course.

Goal 2: Presentation
2 Reflection: I prepared in advisory in the morning, just pretending I was presenting once was enough practice for me, but I did it a couple more times to really knock it down. My problem, was there was way too much stuff to cover in the past quarter (not the first time), but because of this it was acceptable for my fast paced presentation style. In the end, I got a life long evaluation, and I am happy with the results. After the presentation, I just kind of relaxed because I felt really exhausted after my presentation (probably also because of the wall sits).

--------Weekly Goals--------
Weekly Goal 1: Do all the Quarterly things

Weekly Goal 2: AEC

Weekly Goal 3: Stats

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Goal 1: AEC
1 Reflection: So I started the day by working right on the AEC project, and I kept doing this all day. So, as you can guess, I've had a splitting headache all day. I was working on converting the equation to not include any iteration in it, which was extremely difficult, but I got it to work. The only problem now is it makes working with the data a lot more confusing, but that will only be the Tensorflow-low-level specific API, meaning when you are applying the model to outside classification (i.e., training it, classifying unseen data, etc.) it won't be messy. So, now, my next step is to figure the estimator / training / backprop algorithm/function in order to reduce loss, comparing datasets. This means that after that step, I will be training a model to compute Nash equilibria, and compare it to the first model. there will be a thing where I will need to figure out a quick way of copying the cross summation of the matrix that they go over in the paper, as I feel that this will assist in having a faster loss minimization curve. Cephalopod.

--------Weekly Goals--------
Weekly Goal 1: Do all the Quarterly things

Weekly Goal 2: AEC

Weekly Goal 3: Stats
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Goal 1: AEC
1 Reflection: Whoa, I have finally made it over the hurdle of converting the equation into code. I started the day (from the momentum of yesterday) working on the project and it was going really well. I had to add a couple more lines of code, and it was fully functional, to the point where I could easily take my two parameters, combine them with the data inputs, and get the forward operation done, and, painstakingly, I did the calculation by hand and got the same answer as my computer, so I know it works! Yesterday my hurdle was multiplying the scalar matrix with a r3 tensor (a matrix of matrices), and I found out a way of doing that. Now the next part is creating a neural network of these units, so there is an easy classification to do, but there is also going to be the insanely difficult bit, where I have to backpropogate throughout the network. I will definitely be going insane with this step, as it involves heavy vector calculus. Hopefully, I am prepared to face this challenge.

update: Oh. My. God. I've been working with the TensorFlow.keras.layers.Layer class, trying to create a custom one, and I may have just done it. Let me do some more testing before I start to really freak out.

update: pfft, I thought. Will look more into it tomorrow.


--------Weekly Goals--------
Weekly Goal 1: Do all the Quarterly things

Weekly Goal 2: AEC

Weekly Goal 3: Stats


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Goal 1: Presentation made
1 Deadline: 12:00
1 Obstacle: Focus
1 Strategy: Coffee, Music, Tent
1 Reflection: The presentation is complete at 12:20, however, I have yet to complete any artifacts, which I plan on doing. So, I will start the AEC right after lunch, and hopefully everything works out.

Goal 2: AEC Progress
2 Deadline: 2:00
2 Obstacle: Difficulty programming
2 Strategy: Pseudocode, Pseudocode, Pseudocode.
2 Reflection: I finally found a way of doing some of the matrix math purely in bumpy, and it is making me think about potentially working without TensorFlow, in the same fashion as the original neural network library that I made. we'll see throughout the week.

Goal 3: Look at Stats HW
3 Deadline: 3:00
3 Obstacle: Procrastinating and doing it tomorrow
3 Strategy: Look at it at 2:00, do it if it is easy, if not, do it tomorrow
3 Reflection: Yeah, I procrastinated, and worked on the aec, but I can afford it since I have plenty of time between when it is due and now.

--------Weekly Goals--------
Weekly Goal 1: Do all the Quarterly things

Weekly Goal 2: AEC

Weekly Goal 3: Stats

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Goal 1: Calc Paper submitted
1 Deadline: 9:00
1 Obstacle: None
1 Strategy: Submit first thing
1 Reflection: The first thing that I did today was walk in and then I submitted my paper, because it was already done.

Goal 2: AEC
2 Deadline:
2 Obstacle:
2 Strategy:
2 Reflection: I decided against this because I needed the mental break, so instead I completed my EoQ. I will work on this over the weekend and all doc week. Next week is also spring break for Keene state college so I will have the extra time on Monday Wednesday and Friday.

Goal 3: Calc Quiz
3 Deadline: 12:00
3 Obstacle:
3 Strategy:
3 Reflection: I did well with this because at the beginning of class I found out that we were just doing review, and we could take the quiz at any time that we wanted to. So, given this, I had a quick review of the trig derivatives, then took the quiz. Then, knowing how to do this on a TI-84, I checked all of my answers and made sure that my final equations were correct. I was, and because of this, I am confident that I got a 100% on the quiz.

--------Weekly Goals--------
Weekly Goal 1: History Paper Completed

Weekly Goal 2: Do well on Stats Exam 1 (Check)

Weekly Goal 3: AEC Progress

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This was a good week, I think that throughout the week I held a consistent level of work throughout each day, allowing me to do all of my course work, my history project, and get a 100 on my first exam.
The other thing that I have been working on this week is improving my physical fitness, and this was good. For the first time in months, I broke my PR on my squat so I can lift 215, so I'm really happy with that.

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Goal 1: Calc HW
1 Deadline: 9:00
1 Obstacle: Time
1 Strategy: Early start (8:10)
1 Reflection: I finished this at 9:20, and I think I did ok with this goal. I would have preferred to complete it earlier, but it was fine.

Goal 2: History Paper Final Complete
2 Deadline: 2:00
2 Obstacle: None
2 Strategy: Extra time for this task, just in case, but honestly will probably finish by noon
2 Reflection: I completed this task by noon, and went on to work on my stats reading.

Goal 3: Stats Reading Complete
3 Deadline: 3:00
3 Obstacle: Boring
3 Strategy: Just skim if that's the need, there are other things to do today and reading isn't the most important, just something I want done
3 Reflection: In the chapters I reviewed scatterplots, correlation, correlation vs. causation, r vs. r^2, but we skipped regression which seems odd to me.

--------Weekly Goals--------
Weekly Goal 1: History Paper Completed

Weekly Goal 2: Do well on Stats Exam 1 (Check)

Weekly Goal 3: AEC Progress


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Today was a good productive day, however...

For a little over two weeks, the Men's Bathroom has not had soap, and obviously, that's disgusting. Knowing that there are plenty of people who already don't wash their hands after using the restroom, I think it is repulsive to think that anyone now who wants to wash their hands has to go out of their way in order to be sanitary.
I don't need to go on a rant on why we need soap. I don't need to explain how gross this is. I want there to be soap or at least something in the bathroom because any other solution poses a health risk to me and my fellow students.

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Goal 1: Study For Stats Exam
1 Deadline: 10:00
1 Obstacle: N/A
1 Strategy: Write on the table an overview of the exam process
1 Reflection: I did this, I looked up the methods and organized my exam-specific notes.

Goal 2: Email Dr. Lu
2 Deadline: 3:00
2 Obstacle: Getting over procrastination
2 Strategy: Do it after practice exams, as you want to not do it first thing
2 Reflection: I wrote this email after I finished my practice for the stats exam, and I think it looks good. Before I hit send, I want to get it looked over as I recognize that my response to this opportunity is important as it will define the opportunities for me in the future, after graduation.

Goal 3: Practice Exam
3 Deadline: 1:00
3 Obstacle: Getting it evaluated
3 Strategy: Pray
3 Reflection: So I am a tiny bit worried about this, because going over it I had some difficulties with replicating the test environment (as I needed excel 2010) and I got some different looking graphs that caused me to have different answers. All I can say is that my instincts in responding to the memo are on the right track, and I've got a fair idea of what is expected of me. What I fear the most is the writeup part of the exam, but in the past I have been told that my issue is that I overexplain instead of anything else, and that wouldn't lose me too many points, as it is better than the alternative.

--------Weekly Goals--------
Weekly Goal 1: History Paper Completed

Weekly Goal 2: Do well on Stats Exam 1

Weekly Goal 3: AEC Progress

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Goal 1: Newton History Paper More information
1 Deadline: 3:00
1 Obstacle: Finding the right info
1 Strategy: Look all over
1 Reflection: I spent all day trying to figure out some more stuff about newton, and it has been difficult as I keep getting led to dead ends. I am trying to find the reason why Newton created calculus, and the specific problem he was working on. Unfortunately I just learned that the gravitational equation was based off of a geometric proof, so that research wasn't entirely useful. All that I know is that as he was studying gravity and planetary motion, he observed the increase in velocity that objects had, and invented calculus, which seems too vague for me to write a paper on.

Goal 2: Calc
2 Deadline: 12:00
2 Obstacle: N/A
2 Strategy: N/A
2 Reflection: Class was alright today, we went over more of the chain rule, and then I got my quiz from Friday back and I got a 100 which I was happy about.

--------Weekly Goals--------
Weekly Goal 1: History Paper Completed

Weekly Goal 2: Do well on Stats Exam 1

Weekly Goal 3: AEC Progress

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Today was kind of a slow day, but that's a monday for you. I will pick up the pace tomorrow, as I think I'm still analyzing yesterday's tournament, which distracted me.

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Goal 1: Calculus
1 Deadline: 12:00
1 Obstacle: Quiz
1 Strategy: Study before class
1 Reflection: I studied for the calc quiz right before class, and I think it helped. I already had my homework done from the previous night, so that wasn't anything that I had to worry about this morning. I walked away from the quiz feeling alright, but it definitely wasn't too easy of a quiz, as I (just to make sure) rewrote the quotient rule out to make sure the one applicable problem was done correctly, and I believe it was alright.

Goal 2: Tensorflow Continued..
2 Deadline: 3:00
2 Obstacle: Tired
2 Strategy: Coffee round 2
2 Reflection: So I started this right after lunch, and felt like I was at a brick wall for the beginning. I was trying to see how I could not just do the calculation programmatically but to actually create an object that could have a way of being called so I can create a model easily, but it's turning out that it isn't so easy.
2 Reflection pt. 2: I am making a little bit of progress with it, it's hard to visualize and map out into code but I think I will be able to do it.

Goal 3: Organize
3 Deadline: 12:30
3 Obstacle: N/A
3 Strategy: Do it after calculus
3 Reflection: I went through my entire bag, emptied it out, threw out any trash, or unneeded items, and then I went though all of my papers and did the same thing. My bag is a lot more organized now, and it gives me a clear mind when needing to get any resources for my projects.

--------Weekly Goals--------
Weekly Goal 1: Tensorflow Invariance Preserving Hidden Unit layer complete

Reflection: Bah, that was difficult. And still there is more to be done. I did not complete this during this week as I had hoped as I did not anticipate how much more difficult translating these equations into code, especially whilst using a library that I am just learning how to use. So, I did not complete this goal this week, so I will be working hard to complete it next week.

Weekly Goal 2: History Paper Progress

Reflection: I started the history paper, and I think I extracted as many notes as I will need from one source, which was my book. I spent about half a day on it this week, and I think that 2 or 3 more full days will allow me to complete the paper. I plan to work on it on Saturday, when I get to putney.

Weekly Goal 3: Auto-Biography Started

Reflection: So, I kind of started this this week, I wrote maybe one page, and they're going to be kind of short lessons or stories that kind of define me. So I think I have kind of a easy format that will allow me to slowly work on it over time, and hopefully I'll have something like 20-30 pages done before the end of the college semester, then I can fully focus on it and complete it in (hopefully) a weeks' worth of focused work.
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Goal 1: Continued AEC
1 Deadline: 3:00
1 Obstacle: distractions
1 Strategy: music
1 Reflection: I was able to get a decent amount done with this today. What I did today that helped extremely with my understanding of the equation that I need to program, and I got started on that process. What I did was I graphed out the equation, using a couple predefined parameters, so I could see each value of H and the long form summation of each linear function. Then, I tried to code an example, as I (hope I) now understand the equation entirely. I got a single unit to do a calculuation, now my task is to make it an iterable function that uses two tensor objects that define the parameters of the model. I'm finally started with the programming part, and I'm feeling decent about it.

Goal 2: Music tiny bit of organization
2 Deadline: 9:00
2 Obstacle: Not really an obstacle, just something relaxing to do
2 Strategy: N/A
2 Reflection: So I did this first thing today as I got into school. What I ended up doing is taking all of my project files and finally condensing all of the cover parts into one big project file, which is how it should have started, but hasn't in the past. So, I did this organization, and I also tried using the app on my phone in order to create a simple drum beat that probably will need a lot of work done on it to make it sound good in the song but it will do ok.

Goal 3: Calc HW
3 Deadline: 10:00
3 Obstacle: N/A
3 Strategy: N/A
3 Reflection: I did this after I put away the music stuff on my laptop and I was able to finish it relatively easily, however, there were some questions that were hinting at infinite series and I am worried that we are going over that soon, as I have been anticipating that infinite series will be probably my weakest point in calculus, but we'll see how it goes.

--------Weekly Goals--------
Weekly Goal 1: Tensorflow Invariance Preserving Hidden Unit layer complete

Weekly Goal 2: History Paper Progress

Weekly Goal 3: Auto-Biography Started

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Goal 1: Start the goddang history paper
1 Deadline: 10:20
1 Obstacle: Not wanting to start it yet again
1 Strategy: No choice. No other work on any other projects today. Other than calculus
1 Reflection: So I started my notes in the first block before class and I am feeling pretty good about this one. I have what I assume is about 2 pages of notes, and I think I am going to write the introductory paragraph first draft just kind of as a warm up or first step I will take for the paper, but I have no doubt that if I work on it today, and maybe 2 other days, I'll be done with this paper before I know it.

Goal 2: Calc Class
2 Deadline: 12:00
2 Obstacle: N/A
2 Strategy: Go to class
2 Reflection: Calculus was fine today, we went over the derivative of e^x and the origins of e, which I already knew from a video I watched in the past, so it was really easy today.

Goal 3: History Paper Pt. 2
3 Deadline: 3:00
3 Obstacle: Start time being 2:00
3 Strategy: Work after school if necessary
3 Reflection: So I decided against writing a first paragraph because I know for a fact I will end up rewriting it if I make it too early. So, during SSR I looked more in my book and went over the overview of the history of him writing Principia, which I have an English copy that I will probably use for the paper to try to see what his direct contributions to calculus were.

--------Weekly Goals--------
Weekly Goal 1: Tensorflow Invariance Preserving Hidden Unit layer complete

Weekly Goal 2: History Paper Progress

Weekly Goal 3: Auto-Biography Started


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Goal 1: Calc & Stats HW
1 Deadline: 10:30
1 Obstacle: Distractions
1 Strategy: Listen to music and only speak when spoken to
1 Reflection: This went great, I finished all of my homework assignments (other than the history project) by 10:30 and I spent an extra 10 minutes just to look over every answer in the back of the book and I look good! Next up on the docket is to study more of the TensorFlow guide, we'll see where that takes me next.

Goal 2: Tensorflow Learn more
2 Deadline: 2:00
2 Obstacle:
2 Strategy:
2 Reflection: So I have learned a little bit more, basically, I took the equation of the Invariance Preserving Hidden Unit layer and derived the properties of the parameters of each layer. So I know there are two parameters, and each layer has a weight matrix, and a bias vector. I am trying to think of ways to code this in TensorFlow, but there is a summation function in the equation that is making it hard to think about. I am trying to think of other equivalent ways of doing the equation that will be easy to implement in TensorFlow, but either way I am making progress.

Goal 3: History Project Notes
3 Deadline: 3:00
3 Obstacle:
3 Strategy:
3 Reflection: I did not work on this because of the lost time from guest speaker, which I forgot to account for when setting this goal.

--------Weekly Goals--------
Weekly Goal 1: Tensorflow Invariance Preserving Hidden Unit layer complete

Weekly Goal 2: History Paper Progress

Weekly Goal 3: Auto-Biography Started

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Goal 1: Calculus HW
1 Deadline: 10:00
1 Obstacle: Tired
1 Strategy: Coffee
1 Reflection: I completed this really early. I was able to go through all of the problems relatively quickly and then I went to class and went over the homework, and I think I did well. We're going over the product rule and the quotient rule, and now in class we are being introduced to all 6 trig function derivatives.

Goal 2: Tensorflow Guide; take notes
2 Deadline: 3:00
2 Obstacle: Difficult
2 Strategy: Build information off of each new thing.
2 Reflection: I was able to learn a lot more efficiently this time around. I started from the basics and I worked my way up. I know that the way that TensorFlow works is by building this computational graph that works like a plumbing system or network and can have data flow through each little node on the network. It allows for one pretty cool stuff, that I am still trying really hard on learning how it will work properly for my needs, but I have a feeling that I can work through it and do the basic thing that I want to do sometime soon. I ended the day with creating a TensorFlow Graph that can do matrix multiplication operations in a dataset. The next step for me is to transfer my knowledge of how to build a graph, and to section it off into a layer. It's too bad that the visual tool doesn't work out for me, since it would be super helpful.

--------Weekly Goals--------
Weekly Goal 1: Tensorflow Invariance Preserving Hidden Unit layer complete

Weekly Goal 2: History Paper Progress

Weekly Goal 3: Auto-Biography Started

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I am pretty happy with what I was able to get done today, and I think that I am setting myself up for a productive week.

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Goal 1: Calc HW
1 Deadline: 10:00
1 Obstacle: Meeting
1 Strategy: Go to library as soon as possible
1 Reflection: I was able to do this right before class, which was good. I was able to do well on the assignment too, and didn't have to edit anything we went over in class.


--------Weekly Goals--------
Weekly Goal 1: History Paper One Page

Reflection : I didn't do this this week, and it is due in two weeks, so I will start this assignment this weekend.

Weekly Goal 2: Start working in Tensorflow

Reflection : I started working on that graph of the basics of TensorFlow objects. The main concern is making sense of all of it, and learning to code math in TF, and not only that but making it an efficient program that can run on a GPU. I can't wait to work on it later this weekend, and later next week!

Weekly Goal 3: Stay good with college courses

Reflection : I did pretty alright with this, I got my first exam from calculus back and I got a 99! Super happy about that one. in my stats class I've been keeping up with the assignments and I am going to take the exam in two Tuesdays, so the 5th, and I feel like I will do pretty well with this.

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Something came up today with some friends, and I don't want to get into the specifics, but it was important, and I can look at today and still call it a productive day, even though I have only written my EoW and did some calculus homework, because of this thing. At the end of the day, I am happy with how my day went, as much of a rollercoaster that it was.

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Goal 1: Calc & Stats HW
1 Deadline: tomorrow 10:00
1 Obstacle: Feeling like everything else is more important
1 Strategy: Actually, give in to that feeling. There will probably be time to do it after the meeting that I would assume ends near 5. I can go to the library, spend 30 minutes, and finish the rest tomorrow morning. AEC is priority for now.
1 Reflection: So, I will stick to my word on doing this tomorrow, I think that that will be the easiest solution. I will do the calc hw later though, when I get home

Goal 2: Ready for meeting at 4
2 Deadline: 4
2 Obstacle: Shouldn't really be an obstacle, especially since today I plan to work on this stuff.
2 Strategy: Work on AEC, in TF, and this will put me 'in context'
2 Reflection: The meeting was cancelled, Dr. Lu caught the flu.

Goal 3: AEC progress: Understand math, & start tensor flow
3 Deadline: 3:00
3 Obstacle: TF is denfinitely going to be difficult, as I will have to learn threading or something.
3 Strategy: Spend all day on this one.
3 Reflection: So I spent all day trying to run an visualization tool and in the end it didn't work. I think I should just focus on the actual math next time, as I think that will have a higher chance of working. At one point in the future, I will have to learn how it works though, but honestly it might wait until after I graduate. It feels so crazy to say that, knowing that it's a couple months away.

--------Weekly Goals--------
Weekly Goal 1: History Paper One Page

Weekly Goal 2: Start working in Tensorflow

Weekly Goal 3: Stay good with college courses

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Goal 1: Read more of the paper
1 Deadline: 3:00
1 Obstacle: Difficult
1 Strategy: cut ar layers, work on them later if needed
1 Reflection: So my decision is that I may be able to get away without learning the action response layer because it isn't entirely necessary for the function of my neural network. So, my goal right now is to use tensor flow to create a model that can replicate the feature layers of the neural network, which I think should be possible. I just need to boil everything down into pseudocode, then take it one step at a time. Hopefully, this should be possible, but working on it today, I found that it is still going to be difficult. Currently, I am working on a certain equation, called an Invariance-Preserving Hidden Unit, and my goal is to find out all of the variables in the equation. I thought I knew what they were before, but there are two questions that I have about the w and b variable, that I am considering asking my professor, but I have a feeling that I already know the answer, the problem is I don't know for 100% sure.

Goal 2: Calculus
2 Deadline:
2 Obstacle:
2 Strategy:
2 Reflection: I worked on the classwork today, but I did not do the assignment. This is ok, as I can work on it tomorrow with ease.

Goal 3: Stats HW
3 Deadline:
3 Obstacle:
3 Strategy:
3 Reflection: It was one problem, I should have done it, but it's not even due tomorrow, so I will just wait to do it tomorrow, as I have spent my day working on the tensor flow stuff

--------Weekly Goals--------
Weekly Goal 1: History Paper One Page

Weekly Goal 2: Start working in Tensorflow

Weekly Goal 3: Stay good with college courses

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Goal 1: Calculus HW
1 Deadline: 10:00
1 Obstacle: Distractions
1 Strategy: Music
1 Reflection: I did this during the first part of my day, and this went alright. There was one problem that stumped me, based on creating an equation with arbitrary points to find a tangent line of any function, which I constantly ran into trouble with but ended up finding the answer on my own.

Goal 2: Understand Action Response Layer
2 Deadline: 2:00
2 Obstacle: difficult
2 Strategy: Steal a desk
2 Reflection: Jesuuss, I spent like all day trying to learn some stuff, and it didn't work. I got a little bit of help from the discord server from one guy in industry but it pretty much just confused me more. It definitely helped though and I think all it needs is a fresh pair of eyes tomorrow

Goal 3: History Project Notes started
3 Deadline: 3:00
3 Obstacle: Not wanting to do it
3 Strategy: start at 2:00 no matter what
3 Reflection: I didn't get to work on this today because of guest speaker.

--------Weekly Goals--------
Weekly Goal 1: History Paper One Page

Weekly Goal 2: Start working in Tensorflow

Weekly Goal 3: Stay good with college courses

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About today's events, I am honestly speechless. It just confuses me where to even begin on what the problem is, or far less what to do to work towards a solution.

I think it starts with these lines that we draw, because humans are naturally tribal, competitive, and resourceful, I think we subconsciously view our education as a game. When we have these different teams, we will naturally go against each other. We will analyze the opposing team's behaviors, and adjust our strategies to optimize what we think is our reward. If this is the case, then I believe there is a divide at this school, where people feel included in the community, or people feel like outcasts. Some people behave in certain ways, because of their "coalition," and in our case we have some that think disruption, ignorance, and disrespect are what they are supposed to do, and the rational choice. Nobody believes they are evil, that's why we heard so many statements, like 'we haven't seen anyone in a while,' 'it's the end of the day,' 'we were bored,' because there is a natural response to criticism that fights the idea they are the bad guy in the scenario.

I feel like that's just random generic B.S. but it's been on my mind for a while and I don't have anything else to offer currently.

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AEC

Goal 1: Do well on the Calc Exam
1 Deadline: 12:00
1 Obstacle: Tiredness
1 Strategy: Drink 1 mug of coffee before exam
1 Reflection: The exam went really well, I think I got a 100% on it, because I finished it initially at the half-way point of the given time, then I went over all of my answers, solving them graphically, or other verification methods, then I went over all the questions, reading them word-for-word and making sure my answer addressed 100% of the question, and I still finished with 20 minutes left in the class. I have a feeling that I am going to get a good grade on the exam.

Goal 2: Finish the assigned Stats HW
2 Deadline: 12:30
2 Obstacle: Nothing really
2 Strategy: Do it
2 Reflection: I finished the assigned stats HW which was 2 problems, and I am caught up with the current problem set. This is making the stats HW more bearable.

Goal 3: Understand 50% of the model AEC
3 Deadline: 3:00
3 Obstacle: Scream (difficult)
3 Strategy: Drink 1 mug of coffee after exam
3 Reflection: So I understand 50% of the model now, which is the first 'stage' of the model. Essentially, boiled down, it is just a multi-layer perceptron network, with two differences from a traditional one. Each node is not a scalar-sum operation, but an element-wise matrix sum operation. Then, there are pooling units that utilize two 'mirror matrices' of the maximum value of the rows and columns separately, that contextualize the information within each payoff matrix. I have really detailed notes that have really helped me understand how the Feature Layers work in the network, and the next task is to learn what the action response layers are in the network. I look forward to understanding the model completely next week!

--------Weekly Goals--------
Weekly Goal 1: College

I stayed up with all the assignments, and was able to even do really well on an exam

Weekly Goal 2: AEC

I did everything I could have hoped for with the delay I had this week due to sickness. I am still waiting for a response from Dr. Lu, and if he doesn't respond over the weekend, I will send an additional email next Monday (I know we have school off)

Weekly Goal 3: Music Project Progress

I have been practicing for about 1-2 hours every other night, and am making progress with just learning the song


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Goal 1: Stats HW Complete
1 Reflection: I finished this first thing today.

Goal 2: Reading Logs Submitted
2 Reflection: I finished this around 12:00, and submitted this for Sarah to read.

Goal 3: Calc Study Exam
3 Reflection: I did half of this, I wrote all of the things in the unit out on the table, next thing would be to do some homework problems.

--------Weekly Goals--------
Weekly Goal 1: College

Weekly Goal 2: AEC

Weekly Goal 3: Music Project Progress

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Study Group Feedback:

There were a couple of 'red flags' that I noticed during our meeting that I wanted to address. I want to iterate the importance of language when it comes to communicating with groups about helping a community. This is referencing the use of the terms 'bad apple,' 'bad students,' etc. When we use language in this way, we are introducing the idea that there are two groups in the community, the bad kids, and the good kids.

This divides the members of the community, and will make students feel more inclined to play to their roles. This is damaging to any solution, as students who believe they are 'bad students' don't feel like they have a place in their community, and will feel as if the other 'good students' are pushing something against them, instead of for them. By embracing the idea that there is no group of bad students, we promote the idea that everyone in the community will have an environment where they will can succeed.

The second thing I want to address is the importance of addressing issues, not people. When bringing up a topic, we do not want to quote specific instances, as the people involved will have a personal bias on each event. This plays into the divide as well, but it also creates a scapegoat within the community. By being called out in a meeting, even if subconsciously, it can promote the idea that 'if we got rid of student x, then we may not have these problems.'

What's important is that everyone needs to feel as if they are accepted, and that their peers and staff want to see them succeed. By creating this environment, where we all feel like we have each other's backs, we essentially introduce this idea of having self confidence and advocacy. With this, we advance our educations, giving our advisors feedback, and not accepting the status quo of education, where some will succeed, and others will be left behind.

Of course, it is clear that the students who showed up to the campus today had good intentions, and they were good at making observations and drawing conclusions. The point that I am making is that the communication when attempting to solve the problem is toxic as it creates a divide in the community that won't want to cooperate.

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Goal 1: Stats HW
1 Deadline: 3:00
1 Obstacle: ugghghghh
1 Strategy: Do it after emailing Dr. Lu
1 Reflection: So at the end of the day, I finished all but 3 of the problems in the 13 problem set, which I am ok with. I will just have to do 3 problems tomorrow morning, which is ok.

Goal 2: Email Dr. Lu
2 Deadline: 2:00
2 Obstacle: Quick Last minute sanity check
2 Strategy: Do it quick
2 Reflection: I emailed him after doing a quick sanity check, this is what I sent him:
Hello Dr. Lu,

Since our last meeting, I have created a simple classifier that can identify Nash equilibria in normal form games. I used a simple feedforward neural network with Keras, and it works with about 96.5% accuracy. Unfortunately, with Keras, I believe I am unable to have inputs of different sizes, which is a problem. However, going into this we both new that this classifier was really just to get me comfortable with working with how to handle normal form games as data, and to judge the performance of classifiers in general, so I consider this step in the project a success.

My next step is to start working on replicating the model from the Predicting Human Behavior paper, using the tensor flow backend, which will be more flexible than the top-level Keras API. I believe this will be one of the more difficult portions of the project, and I can’t give an accurate timescale for when this task will be complete, but I will remain in communication about my progress.

From the last time we met, I remember we wanted to discuss my first classifier once it was complete. When are you available to go over some of the details?

Thanks.

My sanity check was to build a new feature that could get the coordinates of the Nash equilibria instead of one column or row, which was really cool to implement, but I lack the energy to explain it now.

Goal 3: Calc Class
3 Deadline: 12:00
3 Obstacle: Sick
3 Strategy: Don't Stay Sick Stupid
3 Reflection: I did this ok, and I am still ahead of the class even though I missed a lesson, so this was fine.

--------Weekly Goals--------
Weekly Goal 1: Destroy the sick

Weekly Goal 2:

Weekly Goal 3:

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Tensorflow Now works on the Desktop / first day in production room

Goal 1: Calculus HW Before Calculus
1 Deadline: 9:00
1 Obstacle: Tired
1 Strategy: Work on it first thing in the morning
1 Reflection: I completed this at 8:50. I will be able to turn it in during class. Luckily the homework was easy enough so it took about 20 minutes.

Goal 2: Calculus HW After Calculus and some stats
2 Deadline: 3:00
2 Obstacle:
2 Strategy:
2 Reflection: I did the 'some stats' before calculus class and that worked pretty well, I have the majority of the chapter 4 problems and then the chapter 2 problems left, so it shouldn't take me too long. Next time around I'll have to type up my answers and print them though.

Goal 3: AEC
3 Deadline: 3:00
3 Obstacle: get Tensorflow working
3 Strategy: Try
3 Reflection: So for a good amount of time, I was trying to just get everything to actually run in the first place. This required a lot of effort as tensor flow is not a fan of the current versions of the other things that I installed earlier, so in order to minimize impact, I'm trying to use TF version 1.13, which is an experimental release, and I am currently waiting for it to install at this moment.

It finished installing, and now it is raising different error messages, so I am seeing if I can fix those. If not, I am going to downgrade to CUDA 9.0, and the corresponding CUDnn version. Fun...

Alright, it's working, I'm really happy. It seems to have similar, if not better performance than my desktop at home, which is great! I am currently creating another TF model for my current project and I am interested to see how long it will take.




--------Weekly Goals--------
Weekly Goal 1: Manage College Courses

Weekly Goal 2: Work on the AEC

Weekly Goal 3: Start music projects

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This week was super busy. I am a fan. Of course, I am trying to keep up to speed on my college courses, and that is going alright. So, this week I did the required reading, homework problem sets, and etc. I also spent significant portions of time working on my AEC, which I am really happy about. I went from not starting my AEC physical project to having a neural network with an accuracy for classifying Nash equilibria of 97.5%. I also started a music project, which I am spending a couple hours here and there in order to practice the cover that I want to do.

All in all, I think I had about 2 hours a day where I wasn't working tops, all the rest I had something going on or I was sleeping.

Also, I think the production room is a great opportunity, as it allows me to have a quiet place to work while having the quickest way of training models, and I feel that continued work in here will add to my workflow. So I am grateful for this opportunity.

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AEC

Goal 1: stats HW
1 Reflection: I worked on a couple problems between training and made decent progress.

Goal 2: AEC
2 Reflection: I was surprised by some results today of my model. So, in the beginning of the day, I trained my model with extra targeted data so it had the same performance between variables. Now, the model has a total accuracy of 97.5%, and can handle each category of data between 94-98% accuracy. So that was successful. What surprised me is that there was only about a 4% loss in performance when I increased the range of the random variables within the payoff tensor. Tomorrow will be the day I try tensors of different sizes, which will require a lot of magic to have it work.

Goal 3: Calc HW
3 Reflection: I forgot to do this today, and I'm going to have a fun time trying to cram this after the gym and before bed.

--------Weekly Goals--------
Weekly Goal 1: Manage College Courses

Weekly Goal 2: Work on the AEC

Weekly Goal 3: Start music projects

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AEC

Goal 1: AEC progress
1 Deadline: 3:00
1 Reflection: I did a brief statistical analysis of the performance of the network, and it's really good! So, the great thing is that I now have learned how to load and save models, so I can save my progress and create new project files that don't take years to do testing. This is great. I also changed a lot about my dataset so that I was able to create certain properties of a normal form game, like having no equilibria, or having all choices of a game result in Nash equilibria. This allows me to see what could potentially be breaking performance of a neural network. I also know when certain cases come up, as I did a quick probability test by seeing how often the all choice vector came up, and it was like, 0.001 percent of the generated dataset. So, from this, I analyzed the network performance by certain categories, and the 0.001 percent of the dataset had a classification accuracy of 87%, while other categories were normally around 97%. Definitely an improvement can be made in the accuracy, and I am going to get a more equally diverse dataset and train the neural network with that tomorrow. That shouldn't take up too much time. Then, I'm going to analyze the performance of other size matrices, which will be a challenge as I know the models are not dynamic, so I will have to think of a way of changing that.

Goal 2: Stats HW
2 Reflection: I did not work on this today, but it was low priority as it is due next Tuesday. I will do it tomorrow.

Goal 3: Calc HW
3 Reflection: I did not work on this today, but it was low priority as it is due Friday. I will do it tomorrow.

--------Weekly Goals--------
Weekly Goal 1: Manage College Courses

Weekly Goal 2: Work on the AEC

Weekly Goal 3: Start music projects

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Goal 1: Stats Reading
1 Reflection: This went well, I almost finished the chapter, and I really doubt we'll go over the full thing in class. So, I learned so much that it's almost like I can't recall all of the information that the chapter went over. :)

I have notes though...

Goal 2: AEC
2 Reflection: Luckily, I did really well on this goal. I am super surprised that I actually completed the neural network that computes Nash equilibria, and I am excited to continue to work with it throughout the week. Hopefully, I will actually replicate the model within the next two weeks. I am looking forward to this! And it will be fun to do intense training on my desktop too, considering that thing is about 200x faster (not exaggerating) than my laptop, so I will be able to get super high accuracies on the classification, and handle larger normal form games.

--------Weekly Goals--------
Weekly Goal 1: Manage College Courses

Weekly Goal 2: Work on the AEC

Weekly Goal 3: Start music projects

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Goal 1: Calculus Homework Complete Before Class
1 Deadline: 10:00
1 Obstacle: None
1 Strategy: On my phone, so no excuses
1 Reflection: I transcribed all of the problems from my previous work on Friday on to one sheet of paper that I later turned in during class. I am confident that I did really good on the homework, mainly because I have a pretty strong grasp of limits already.

Goal 2: AEC Submitted
2 Deadline: 12:00
2 Obstacle: Pressure?
2 Strategy: Do this. Last day. If you don't do this then all of the work was for nothing.
2 Reflection: I did this, and it was pretty easy, considering that most of the effort was already expended last week. I submitted it around 12 and I am not going to worry about it. I will hear back on February 11th what the final verdict will be.

Goal 3: Stats, glorious stats.
3 Deadline: 3:00
3 Obstacle: I hate this.
3 Strategy: Pretend to like it.
3 Reflection: Wow, it is amazing what a perception shift that I can have in one day. I love reading my stats textbook now. (not really, but that's what I am telling myself.). On a more serious note, I am looking at the homework assignments as something where I am actually interested in the content of what I am going to learn. Thankfully, this gets me to be a lot more interested in reading the textbook, and this helps me get through all of the sections a lot easier. I also am taking a lot less notes, and only going over the main points of each section, as I believe if I am shaky on specifics after a point, I can just review them after that point. The other thing, is that I plan to do what I did with physics, except more frequently. In physics, at the end in prep for the exam, I would go and create a map of all the course material that we went over. I am going to do this at the end of every chapter of my stats book, and I think this will be SUPER beneficial. Not only will it be something to look forward to at the end of each chapter, but since the exams are open notes, there is a huge incentive to do this, as I can use them as cheat sheets.

--------Weekly Goals--------
Weekly Goal 1: Manage College Courses

Weekly Goal 2: Work on the AEC

Weekly Goal 3: Start music projects

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EoW

Goal 1: Calc HW
1 Deadline: 3:00
1 Reflection: I completed the homework on the whiteboard first thing today, and I will be transcribing those notes over the weekend. Update: It is Monday morning and I will do this right after I write my EoW.

Goal 2: Calc Quiz
2 Deadline: 3:00
2 Reflection: I'm really upset about this, it was a 5 part quiz, and I got one question wrong because I made a mistake, and I got an 80% because of it. I'm really upset of course because this is honestly so upsetting, when there are 5 really easy questions and get one wrong and all of a sudden I got an 80 instead of a 100, I'm just not happy about that, and I know that it's one of those battles that are probably just not worth fighting.

Goal 3: AEC Progress
3 Deadline: 3:00
3 Reflection: I started getting the project together in order to start the process. I am feeling pretty good about this, as I got to a good point in my data generator, where I was comfortable with manipulating tensor objects to kind of simulate normal form games. After finishing the data generator, the next step will be to create a feedforward neural network that does the same task. The biggest problem will be to have an adaptive network, so I predict that a feedforward neural network will not have the ability to compute Nash equilibrium with neural networks of different sizes. So then that will be the step after the next step.

Update: Over the weekend I finished the data generator which I was happy about, but because of that I fell behind on my reading schedule, which is wonderful. I am about 10-15 pages into chapter 2 and I have until page 80 to go. Wooooooo...

--------Weekly Goals--------
Weekly Goal 1:

Weekly Goal 2:

Weekly Goal 3:

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Goal 1: Ready for stats class (HW, but confused if problem set is due today)
1 Deadline: 12:00
1 Obstacle: Not knowing what I need to do
1 Strategy: Email professor to see what is due today
1 Reflection: Alright, so Luckily, the problem sets are due the 12th. Unluckily, however, I found out about the regular reading assignment. 50 pages. Chapter 4. There are 50 pages in chapter 4. So I literally spent almost all day reading that, and barely any time doing anything else. Currently, I have 20 pages to go. At first, I was reading about 2 pages per hour, as I was doing all of the exercises and activities that the book goes over. This was before I even looked ahead to see where the chapter ends, so I ended up reading about 10 pages per hour after that point, so I will be able to get this done before class, but Jesus, 50 PAGES!!! 2 day assignment too!

Goal 2: AEC Abstract Edited
2 Deadline: 3:00
2 Obstacle: None, I have a decently light day I should be able to get this done.
2 Strategy: Complete this after stats HW
2 Reflection: I completed this as a break from reading, and I printed it out for my meeting later with Dr. Lu.

Goal 3: Math For Deep Learning more reading
3 Deadline: 3:00
3 Obstacle: Low priority
3 Strategy: Do other things first thing today
3 Reflection: Hopefully I can get the stats assignment done and read this so I can get in the right mindset to talk to Dr. Lu. But otherwise I did not get to do this today.

--------Weekly Goals--------
Weekly Goal 1: AEC Progress (Check)

Weekly Goal 2: Cat & Dog Classifier complete

Weekly Goal 3: Wellness Portfolio Complete (Check)

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Goal 1: Calculus & HW
1 Deadline: 3:00
1 Reflection: Unfortunately, I did not get to the homework, but I do anticipate that when I get to it it will be extremely easy, so I aim to do it before I leave the building.

Goal 2: Stats Chapter 4
2 Deadline: 3:00
2 Reflection: I did not get to this today as I was very busy on reading this paper, and had to do a lot of google searching while reading.

Goal 3: Read Mathematics of Deep Learning
3 Deadline: 3:00
3 Reflection: I read this paper pretty much all day, and of course, I am 1 page in. It's crazy how much material can be covered with so few words, and I hope that I can replicate this feeling in a my paper later on. Either way, today I learned about the amount of data that a deep neural network needs (there is a difference from a regular neural network), and (supposedly) why deep neural networks work better than their shallow counterparts. Also, a word, "Gaussian" that I am seeing everywhere has a little bit more meaning, and the discoveries that people have made with it are extremely interesting. Gaussian literally refers to a normalized distribution, and researchers have found that in neural networks, if you initialize the parameters in a 'Gaussian Distribution,' even though the answers will be wrong, the precision of the network will be high. This means that similar inputs will have similar outputs, which is normally not the case, similar inputs can have drastically different outputs with complete randomization. It's so cool because I am starting to get to some of the big topics where other researchers also don't have an explanation for these things, we have only observed these patterns in practice.

--------Weekly Goals--------
Weekly Goal 1: AEC Progress

Weekly Goal 2: Cat & Dog Classifier complete

Weekly Goal 3: Wellness Portfolio Complete

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Goal 1: Fencing Wellness Project Submitted
1 Deadline: 10:00
1 Obstacle: No Excuse, No obstacles
1 Strategy: Do it first thing walking in
1 Reflection: I did this in advisory, I finished the submission in PF and it is awaiting Elizabeth's evaluation.

Goal 2: Stats Chapter Review
2 Deadline: 3:00
2 Obstacle: Other Work getting in the way
2 Strategy: Just read over the notes, you'll do fine.
2 Reflection: I didn't look at this today, but I was able to glance at my notes. I still remember all of the things going on in the chapter (about workplace age discrimination case w/ stats) and I should be fine.

Goal 3: AEC/GRP Stuffs
3 Deadline: 3:00
3 Obstacle: That dang paper being bad
3 Strategy: Get a different paper
3 Reflection: I found a new paper on the math for deep learning, and so far, it is WAY better than the previous paper I was reading, so I am making that switch. The first paper was supposed to explain the mathematics of regression, (the GOAL OF THE PAPER) and didn't have any effort spent on explaining notation, providing examples, etc. So I switched to a way better paper that I found on arxiv.

--------Weekly Goals--------
Weekly Goal 1: AEC Progress

Weekly Goal 2: Cat & Dog Classifier complete

Weekly Goal 3: Wellness Portfolio Complete

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To retain honesty, I initially set a goal to start the Calc Paper today, but didn't go through with it. The problem was I have books at home that would be better than the online resources I was finding, and the deadline for the project is so far away where I can afford to work on something else with my time. (Deadline: March 8th) Again, it is a 2-5 page paper on a historical figure, so I'm really not stressed at all about this, should take literally 2 days of focused work.

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Goal 1: Calculus Homework Completed
1 Deadline: 3:00
1 Obstacle: Amount of work to complete
1 Strategy: Get told that I don't have homework
1 Reflection: Oh my god I am so grateful I don't have any calculus homework so I have all the time to do what I want to work on today, so I will probably work on the Calc Research paper after I complete my other goals that I set for today.

Goal 2: Project Foundry
2 Deadline: 3:00
2 Reflection: I finished this first thing today before going to Calculus. I checked in with Elizabeth about the reflection style and then I wrote a separate reflection that addressed all of the competencies that are in a wellness portfolio. After I got back from calculus I found out that I had to do the health portion for the portfolio to be complete, so I completed that with the extra time from the lack of calculus.

Goal 3: AEC Abstract Edited
3 Deadline: 3:00
3 Obstacle: Calculus HW
3 Strategy: Irrelevant obstacle after finding out I have no HW. There is no excuse to not get this done today.
3 Reflection: I did this last thing today, and I sent it to Kelly for feedback.

--------Weekly Goals--------
Weekly Goal 1: AEC Progress

Weekly Goal 2: Cat & Dog Classifier complete

Weekly Goal 3: Wellness Portfolio Complete

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eow

Goal 1: Calculus Class & HW
1 Deadline: 12:00 Class, 3:00 HW
1 Reflection: Fortunately, class itself was easy. I got all of the problems correct other than one interval notation mark incorrect, but got the general idea of the problem. It was effort based since it was review.

Goal 2: Fencing portfolio Submitted
2 Deadline: 3:00
2 Reflection: I started writing it and I got about three or four quality paragraphs completed. I don't know how long it will end up being, but I am excited to continue writing it.

Goal 3: AEC Progress
3 Deadline: 8:00
3 Reflection: I didn't make a ton of progress on this, as I was busy with calculus homework and my fencing writeup. I will do this over the weekend when I can go on my desktop.

--------Weekly Goals--------
Weekly Goal 1: First week classes = good

Reflection: It looks like I will be constantly exhausted, and stressed, but I know it is possible and therefore it will go good. I am

Weekly Goal 2: Dog & Cat Classifier = good

Reflection: I did not make much progress as each time I got home to my computer I was exhausted from the day. I may have to figure out how to setup a VPN to access it from school or get access to the school computer.

Weekly Goal 3: Dual enrollment credits

Reflection: This was completed this week, thank you Elizabeth for quickly getting to the PF proposal.
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This week has been really intense. I have completed a large amount of work over the days, and I have had probably a total of 4 hours of break, the rest I have slept.

I am actually having a difficult time recalling what I have done this week, as I have been pretty much asleep during the entire time. Next week, let's talk about next week.

I am going to have to get the schedule for when I focus on certain classes, so I can get into a routine again. Then, I'll develop a strategy for working on the AEC, and meet with Dr. Lu on Thursday.

Now, that it is saturday, I have enough things to talk about. I currently am trying to find ways of getting my Neural Network to work the way I want it to, and I think I just need to run my model through 5x the data, because that's one of the things I haven't tested yet that could have a large impact on the performance. We'll have to see how it goes, as more data will take a long time to compute. I am running through the data right now and one Epoch takes half an hour. For sufficient testing, I am going to run 6 epochs, so I will be waiting 3 hours to see if this works. I will have to do some more research on how to improve performance and speed in computer vision projects. Hopefully I can find this information fast.

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Goal 1: stats chapter 1
1 Deadline: 3:00
1 Obstacle:
1 Strategy:
1 Reflection: it took a long time, but I finished chapter 1 and I got the big picture idea from it. I was really slow until I had my second cup of coffee, and then I did better, so in the future, I am going to get a reusable K-cup and start making coffee here again so I don’t spend a ton of money at brewbakers every day.

Goal 2: Dr. Lu email
2 Deadline:
2 Obstacle:
2 Strategy:
2 Reflection: I sent Dr. Lu an email, asking to get in touch, and I told him I hope he had a good break. Thanks Elizabeth, for making me not feel bad about the lack of communication. I also checked in with you about the internship credit stuff, and it sounds like if I increase communication it should all work out.

Goal 3: checklist updated
3 Deadline: 3:00
3 Obstacle: finding Elizabeth
3 Strategy: check door schedule
3 Reflection: As you know, I checked in with you around noonish and we made sure my checklist was updated, and it was good. I know I completed all the college courses and got good grades and all that, but checking off three portfolios and CBRPS off of my checklist felt really good.

--------Weekly Goals--------
Weekly Goal 1:

Weekly Goal 2:

Weekly Goal 3:

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I was very tired all day, and I know that I have to account for that in the future or I may fall behind.

I wrote this on my phone so I apologize if there were any weird autocorrect things or bad grammar, but I couldn’t access eods on my laptop.

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Goal 1: Calculus First Course
1 Deadline: 10:40-11:50
1 Obstacle: None
1 Strategy: Show up & Take notes
1 Reflection: I showed up, and I took notes. This is going to be a stressful semester. 50% of the grade is exams, again, and not only that, but they're real exams, in the case that they are not open notes. Woohoo.

Goal 2: Stats HW (read chapter 1)
2 Deadline: 2:00
2 Obstacle: Doing a lot of reading in a short amount of time
2 Strategy: Hopefully, I know the material already, so start with any practice questions, then read chapter to fill in gaps.
2 Reflection: I did not read chapter one, I will do this later today. I instead completed the HW assignment for Calculus. I will be creating a RIGOROUS SCHEDULE that will dictate what I have to do each day, and I will program these events in my Trello bot in order to make them appear every day. I need to do this, otherwise things like the AEC and smaller class research projects will slip through and I will end up working last minute, which I will have to try to make sure happens not even once this semester, or I may have to deal with an overly stressful time.

Goal 3: AEC Scream
3 Deadline: 3:00
3 Obstacle: Stress
3 Strategy: Attack it head on. Go back to abstract, rewrite it, and plan what next step after ConvNet will be.
3 Reflection: Yeah I'm intensely scared I didn't do this today, I may give it attention later, but I feel totally burnt out right now. I stayed after school until 4:20ish to finish my calculus assignment, which took me longer than it should have. Although, the parts I got stuck on were 'odd' enough to the point where I don't think this will be a common occurrence. Lovely thing is though that the calc professor said to plan to spend 2 hours a day on her course, so I'm hoping that is an exaggeration, and I also hope that my curiosity-driven self-research last quarter will also help me spend less time in this course so I can have time to do things like the AEC.

--------Weekly Goals--------
Weekly Goal 1: First week classes = good

Weekly Goal 2: Dog & Cat Classifier = good

Weekly Goal 3: Dual enrollment credits

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Goal 1: Request Transcripts
1 Deadline: 3:00
1 Reflection: I was able to get this done first thing in the day. I also just dropped off my transcript request form at river valley so all of the schools have been requested.

Goal 2: CSS Profile docs
2 Deadline: 3:00
2 Reflection: I uploaded my 'Tax returns.' I am all done, and my dad submitted his, so all of the required documents.

Goal 3: Comp-Sci Class
3 Deadline: 3:00
3 Reflection: Unfortunately I checked vlacs and they said that the course was closed. Case may be that I will have to change to do the different option of pursuing a certificate instead of college credit. In order to make the most of my time, I plan to do something with machine learning, I may follow the google machine learning course.

--------Weekly Goals--------
Weekly Goal 1: First week classes = good

Weekly Goal 2: Dog & Cat Classifier = good

Weekly Goal 3: Dual enrollment credits

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today was a very busy day, it was 12 hours of work. I got to school around 8:30, and got home around 8:30. I also will be continuing to have busy days every Tuesday and Thursday which will be a lot to deal with. Tomorrow is calculus

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Goal 1: Find a model that can classify dogs & cats above 60%
1 Deadline: 3:00
1 Reflection: Unfortunately, I was unable to get a model that could perform well. I will have to tinker around with everything a lot more. I only got to meaningfully train 5 different models as I have limited computing power. Took me about an hour for each test. Some of the new computer parts should hopefully come in today, and I might be able to get it built soon.

Goal 2: Organize stuffs
2 Deadline: 12:00
2 Reflection: I threw out about half of my papers which went well. Another quarter is left of graded quizzes which will be stored in my room.

Goal 3: Create Fencing data?
3 Deadline: 3:00
3 Reflection: I started this at lunch, and I will continue this after I write this EoD. My goal is to get a really simple line graph of performance over time. It will only really have 10 data points, but that's fine.

--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Credit Transfer

Weekly Goal 2: Ready for courses next week

Weekly Goal 3: Dog Classifier Complete

Weekly Goal 4: Any college crap that comes up randomly

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Jazzy, Cas, Alex, Sophie, and I had a very productive conversation about the cleanliness of the school, and I thought there was a very strong sense of respect and community within the discussion. I would recommend that each student in the above list get exemplary habits in Problem Solving, Critical Thinking, Community, and Communication. I'm sure my report will not be the first time you will hear about this discussion, but I urge that each student in the conversation showed these habits at the exemplary level.

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Today I focused on one thing and one thing only, other than a single lunch break. I started my day by looking at every summary of the chapters of the course which were all pdf files, and then I took quick mental notes of what I knew and what I didn't know in regards to the course material. I then took really dense notes in my notebook, which I don't know why, but has been proving an effective studying format for review. Pretty much everything on the page was never read again, but the act of writing it down all in one place I think creates like this mental map of all the information from the course. So this all worked for review, and took me until 12:00. I had a quick lunch break, did my normal thing, and I started the exam right at 12:50. I finished the exam close to 3:30, and I got a 94% but the three questions I got wrong were all so close to the point where I sent an email to my instructor explaining why I think I should've gotten a higher score (with the crap that I was dealing with, I should hopefully get a 100%, but automatic scoring doesn't like typing equations)

Sorry for the break in format it was just the most effective solution currently.

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Goal 1: Create trainable model
1 Deadline: 3:00
1 Obstacle:
1 Strategy:
1 Reflection: I completed this around 10:00, but much to my dismay, I found that it would take a LONG time to get it to work. What I will have to do is get it running on my desktop and leave that running for a while and try and train it for a long period of time, while I wait for my new desktop, and to setup the school computer to run tensor flow as well.

Goal 2: Find out computer thing
2 Deadline: 3:00
2 Obstacle:
2 Strategy:
2 Reflection: Wow this is a lot of work. I installed, uninstalled, reinstalled, all of the above over and over, and couldn't get the gpu implementation of tensor flow to work. So that was unsuccessful, but hopefully I will be able to get it working tomorrow? Unless I take the final which in that case all bets are off. I may take it tonight though, we'll see.


--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Credit Transfer

Weekly Goal 2: Ready for courses next week

Weekly Goal 3: Dog Classifier Complete

Weekly Goal 4: Any college crap that comes up randomly

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Goal 1: pre-calculus final
1 Deadline: Lunch
1 Obstacle: Focus & Time
1 Strategy: Study during block 1
1 Reflection: I can feel myself not being ready for the final, just as I am making many errors in my review that I should be able to catch. Given that I have only one attempt, and have to take the exam in one go, I do not think that it would be appropriate for me to attempt it today. I will do it tomorrow, if I can go to keene state library to have a quiet place to take the exam. I will be spending the extra time searching for college scholarships today.

Goal 2: ConvNet Structure finished??
2 Deadline: 3:00
2 Obstacle: Final
2 Strategy: After Lunch, or after final. Whichever is last
2 Reflection: I came up with a structure for a potential CNN, and we'll see how it does once I figure how to input image data to the Keras sequential object.

Goal 3: Any college things I need to do
3 Deadline: 3:00
3 Obstacle: Nothing comes up
3 Strategy: More time dedicated to DL project
3 Reflection: I looked up some scholarships and kind of found out that usafencing holds a couple on their site, so I'll have to check those out.

--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Credit Transfer

Weekly Goal 2: Ready for courses next week

Weekly Goal 3: Dog Classifier Complete

Weekly Goal 4: Any college crap that comes up randomly

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Goal 1: Create a convolutional neural network
1 Deadline: 3:00
1 Obstacle: difficult
1 Strategy: Focus only on this today, with breaks every now and then
1 Reflection: I would say I did really well with this goal today. I followed a medium article on creating a convolutional neural network (CNN) in a short amount of time, and I learned a lot about the keras library, which is a top-level library that is really easy to use. I created a model, understanding what each layer was doing.

Goal 2: Train the network to do well on the MNIST dataset
2 Deadline: 3:00
2 Reflection: My model took ~30 minutes to train 12 epochs, with each sample being 60,000 28x28 grayscale images. In the end, my model could classify handwritten digits in the MNIST dataset with 98.96% accuracy.

Goal 3: Understand main mathematic operations in convolution
3 Deadline: 3:00
3 Reflection: I did this first, and I learned about Tensor algebra, including addition, subtraction, Hadamard products, Hadamard division, and the tensor product. I also learned the corresponding notation so hopefully reading papers in the future will make a little more sense, but I need to understand Einstein tensor notation first because that is what I see in most papers.

--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Transfer

Weekly Goal 2: New College Courses Scheduled

Weekly Goal 3: Machine Learning Project started

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Goal: Make a convolutional neural network.

Reflection: I did not do this, however, I made some pretty mean notes on how the whole process works, so hopefully I can actually get this done tomorrow with hopeful relative ease. I mostly worked on college stuff, and I fenced.

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Goal 1: Precalc HW & Quizzes
1 Deadline: 12:00
1 Obstacle: Finishing on time
1 Strategy: Start right at beginning of day
1 Reflection: I completed the homework around 11, and completed one of the quizzes at 12:20. I got a 100% on the first quiz, which was great. Unfortunately, I did not have any time to work on the second quiz, or any of my other goals after lunch time. Hopefully there is a workaround to this, as I will need the two extra hours each day to work during school.

Final update 1: got a 93% on quiz #3, was happy with that, so next up is the DBA, the Final exam, and then I’m done!

Goal 2: Make Convnet
2 Deadline: 3:00
2 Obstacle: Finding time
2 Strategy: do directly after precalc
2 Reflection: Did not have time to do this (at 2:00) might do this after gym.

Goal 3: Transfer credits & ensure transcripts are sent
3 Deadline: 3:00
3 Obstacle: I am not the one who does this
3 Strategy: Meet with Elizabeth in advisory
3 Reflection: I saw how organized the process is and I am confident it will be done in the next few days.

--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Transfer

Weekly Goal 2: New College Courses Scheduled

Weekly Goal 3: Machine Learning Project started

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Goal 1: Meet with Elizabeth
1 Deadline: 8:00
1 Obstacle: Elizabeth not here?
1 Strategy: Stay in advisory, hopefully
1 Reflection: This went well, most my morning was dedicated to making progress on communicating my upcoming college courses, forwarding the unique checklists, and getting credit from my college courses from last semester. I went into more detail on trello.

Goal 2: Work on ML Catch-up
2 Deadline: 12:30
2 Obstacle: distractions
2 Strategy: Dont
2 update: I didn't do this during block 2, as I ended up pushing it to block 3. This was because I worked on other stuff for preparing for college courses.
2 Reflection: I decided my first task in this project will be to create a convolutional neural network that reads the digits from the MNIST dataset as the first task, as the architecture I will be using in the future will be using similar methods that are found in a ConvNet. I setup a project folder, and am following a quick guide in the Keras library to create one real quick that I can play around with. I anticipate that this will be complete by the end of the week, hopefully sooner.

Goal 3: Pre-calc Work, 5 questions
3 Deadline: 3:00
3 Obstacle: Other work
3 Strategy: Fit in time during lunch maybe?
3 Reflection: I did this first block and lunch. Luckily, It was pretty easy to do. I finished 8 questions, and I might work on these later today.

--------Weekly Goals--------
Weekly Goal 1: Dual Enrollment Transfer

Weekly Goal 2: New College Courses Scheduled

Weekly Goal 3: Machine Learning Project started

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I had a productive day, if you take a look at Trello you can see the full list of things that I did.

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Goal 1: Physics Final
1 Deadline: 12:30
1 Obstacle: A decent Breakfast
1 Strategy: Ouch
1 Reflection: I think I did ok on the final, but I could have done a lot better if I felt better during the test. I ended up taking a long time on each problem, as that's just how I normally am. I think I may have been slightly malnourished, and it affected my focus during the test. I predict anywhere in between a C - B+, but I have been inaccurate with those judgements before.

Goal 2: Common application
2 Deadline:
2 Obstacle:
2 Strategy:
2 Reflection: I did not do a good job today on this, There were different factors that led to this, but I will do it next time I attend school, so Thursday or Friday


Goal 3: EOQ
3 Deadline:
3 Obstacle:
3 Strategy:
3 Reflection: I will complete this on Friday.

--------Weekly Goals--------
Weekly Goal 1: College Finals

Weekly Goal 2: Precalculus Progress

Weekly Goal 3: Common Applications

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Goal 1: Study for Physics Final
1 Deadline: 12:30
1 Obstacle: Effective studying
1 Strategy: Show up to KSC library, study with group
1 Reflection: I went to the library from 10:00-12:30, and studied for the final. I thought I went over enough things for the final, and I feel pretty confident that I can do pretty well on the final. I'll study a tiny bit more tomorrow.

Goal 2: Catch up on Thurs & Fri EoDs
2 Deadline: 1:30
2 Obstacle: N/A
2 Strategy: Do during SSR
2 Reflection: I did not do this, I was working on creating my workout schedule, but I will finish this when I get home.

Goal 3: F&M Exam Review
3 Deadline: 3:00
3 Obstacle: Effective Review
3 Strategy: Look over at all the work, identify each step, make sure it is good.
3 Reflection: I did not complete this for the same reason as goal number 2, and will be doing it at home. I think I could use more coffee tomorrow.

--------Weekly Goals--------
Weekly Goal 1: College Finals

Weekly Goal 2: Precalculus Progress

Weekly Goal 3: Common Applications

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today was a pretty good day, I didn't drink much coffee, but definitely could have used more. I did do a pretty substantial thing which was making this:

Fencing Practice (Monday & Wednesday 6:00 - 8:00)
Tuesday (Upper Body) & Thursday (Leg Day)

— Every Workout —

4 laps running

2x-3x - Bodyweight exercise
20 push-ups -> 20 up-down -> 15 bicycle kicks

2 laps

2x-3x - Medicine Balls
15x Overhead slam -> 12x Ball toss (each hand) -> 15x Ball Wall Toss

2 laps

2x-3x - The legs
15x box jumps -> 5 rep clock lunge -> 10x Kettlebell Squats

2 laps

Leg Day or Upper Body day

2-4 laps as cool down

Footwork


— Leg Day —
5x5 Program
Leg Curl
Leg Extension
Military Press
Squats
Deadlift
Box Jumps



— Upper body —
5x5 program
Military Press
Bicep Curls
Squats
Tricep Pulldowns
Lat pulldowns
Battle Ropes


— Footwork —
@ home?

Lunges
Advance Lunges
Retreat Lunges
Fence! Drills (start at garde line, 1 advance forward, half step forward, then retreat, parry, riposte or advance lunge)

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A sick day

SICK DAY but filling out words for stats

SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY

SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY
SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY
SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY
SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY SICK DAY

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Goal 1: College Essay very close to completion
1 Deadline: 8:00pm
1 Obstacle: Unproductive meeting
1 Strategy: College essay is a priority, study carol's feedback, think of discussion ahead of time
1 Update: I looked at Carol's feedback before my Physics Lecture, and went through and changed some of my wording on the essay. I will look at the essay again in third block.
1 Reflection: I spoke with carol and it went great, we think that we can have the final draft done by the end of the week.

Goal 2: Study for physics exam next Wednesday.
2 Deadline: 1:00
2 Obstacle: Not knowing how to
2 Strategy: Write everything I know down on the table.
2 Reflection: This went a little worse than expected, I sent an incident report on what happened. It was delayed, and the work that I did before lunch was all I've got.

Goal 3: Precalc homework complete
3 Deadline: 3:00
3 Obstacle: Finding the right time
3 Strategy: Work on this after college essay review
3 Reflection: I didn't have much time to do this today, so I will do it after I get home from dropping off the river valley application.

--------Weekly Goals--------
Weekly Goal 1: Complete all things on trello week (absolutely vital that anything above learn more algorithms is done this week)

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Tagline

Goal 1: Sine Function Project edits
1 Deadline: 10:00
1 Obstacle: Doing this before the class begins
1 Strategy: Wake up at 6:00 and drink coffee asap.
1 Reflection: I completed any edits in the morning and I handed in the assignment. The teacher looked at it and she said it looked good so I'm thinking anywhere between a 85%-100%.

Goal 2: Phys lab complete
2 Deadline: 2:00
2 Obstacle: Tired
2 Strategy: Chug all the coffee and energy drinks before this point
2 Reflection: I wrote my lab paper before the deadline, and I realized too late that I messed up the calculations by using g = 10 instead of g = 9.8, and my professor will definitely subtract a ton of points. Pray for me.

Goal 3: Precalc some homework
3 Deadline: 3:00
3 Obstacle: Timing of other projects
3 Strategy: work on this after lunch
3 Reflection: I did this after my F&M class, and I got 25% complete in the topic so far, I will do a lot more tomorrow, as I'll hopefully have more time to work on it.

--------Weekly Goals--------
Weekly Goal 1: Complete all things on trello week (absolutely vital that anything above learn more algorithms is done this week)

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Goal 1: Abstract sent to Sarah & Kelly
1 Deadline: 8:30
1 Obstacle: theoretically nothing
1 Strategy: send in first thing in the morning
1 Reflection: I did this exact goal, sent it in in advisory with some extra emails that gave the guidelines for the abstract. I also did this by 8:30 as well.

Goal 2: Physics Lab
2 Deadline: 6:00
2 Obstacle: so much
2 Strategy: After school
2 Reflection: I didn't even touch this today, the F&M stuff takes priority over this so I did that instead. I will have to do it after school, and I finish this EOD

Goal 3: F&M Homework, Project, and Exam
3 Deadline: 3:00
3 Obstacle: So. Much. To do.
3 Strategy: Work on it when I get back from physics
3 Reflection: By the end of the day, I completed the project, did half of the exam, and didn't start the homework. I need to complete this after school, but I still need to go to fencing so I can't skip out on that. this is great. I love this all happening at once.

--------Weekly Goals--------
Weekly Goal 1: Complete all things on trello week (absolutely vital that anything above learn more algorithms is done this week)

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Goal 1: College Essay Edits
1 Deadline: 12:00
1 Obstacle: Doing this quick enough
1 Strategy: Look back at notes
1 Reflection: I completed the edits for the college draft, and I wrote an additional information segment, that might need more work. I feel that the draft is pretty quality, and I am going to talk with Carol next Wednesday. Fingers crossed that there is minimal feedback, and the essay will convey the same message in less words.

Goal 2: Abstract started
2 Deadline: 3:00
2 Obstacle: Knowing what to write
2 Strategy: Review other abstracts on the AEC
2 Reflection: I was way too ambitious to set this goal today, I didn't have enough time to work on it. I plan to start this over the weekend now, and be done with it by next Friday. This is an absolute deadline, as that is the deadline for the AEC submission. I hope to get the draft done over the weekend, and get feedback on Monday/tuesday, and send it end of Tuesday. It is absolutely essential this is done, or else I may not be accepted in to the AEC



Goal 3: Presentation Started
3 Deadline: 10:00
3 Obstacle: N/A
3 Strategy: Work on it early, just pick learning opportunities & make intro slides look nice
3 Reflection: I got 4 intro slides done by 10:00, and I am satisfied with that. I will be working on this more, possibly daily, next week.

--------Weekly Goals--------
Weekly Goal 1: Finish Paper Reviews

Reflection: Ok, so, I'm having to delay this as an abstract is due next week and I haven't started working on it. My plan is to write the abstract, get some feedback from Elizabeth, Sarah, or other available staff and then will turn it in to dr. Lu. He will review it, and see I am making progress, and hopefully give me feedback so I can turn in the Abstract by the 7th.

Weekly Goal 2: Be a good student

Reflection: I did do this. I got all my assignments in on time, finished an exam, finished the lab, and on that exam, I got somewhere near a 92% which is pretty good.

Weekly Goal 3: College Applications

Reflection: I feel like I spent as much time on this as I could have with so many other goals. For spring semester signups, all I need is parent signatures, and then I should be all set. For the commonapp, I asked 3 teachers for letters of recommendation, and I think that is enough, because that is the max for about half of my schools. I will be focusing on singular applications next week, as well as the essay.


NEXT WEEK TASKS:

College:
Submit Spring semester applications
College Essay draft complete, and another round of feedback
commonapp 3 schools complete registration
AEC:
Abstract Finished for submission
More algorithms understood (surface level). Before this week I know Feedforward, CNN, GAN, RNN, and LSTM
Dual Enrollment:
Study for finals
Sine function project finished and nice
Precalc Catch-up, hopefully 2-3 topics complete minus the DBAs
Misc.
Presentation for quarterly


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Goal 1: RNN & LSTM vague understanding
1 Deadline: 3:00
1 Obstacle: noise
1 Strategy: Music
1 Reflection: I think I have a vague understanding of both of these Neural Networks. RNNs are useful as they can predict patterns in a sequence, which Multilayer perceptrons have to "think" instantaneously. RNNs have the ability to have a short-term memory, where they can remember the last thing in a sequence. The problem with this method, is that there can be loops. If you are trying to build sentences, you may end with "Doug saw Cindy saw Doug saw Doug." There is the LSTM, (long short term memory) which can keep things in memory, and selectively remove numbers in memory. So, with this method, researchers could have more complex sentence structures.

Goal 2: F&M Homework
2 Deadline: 10:00
2 Obstacle: Tired
2 Strategy: Wake up at 6:00 and start day strong
2 Reflection: I did this before the end of class, which was great!

Goal 3: Commonapp & College spring quarter signups
3 Deadline: 3:00
3 Obstacle:
3 Strategy:
3 Reflection: I did this, I sent Whittemore an email, looked over the main commonapp, and finished the testing section. All that is left is the essay, and each individual application

--------Weekly Goals--------
Weekly Goal 1: Finish Paper Reviews

Weekly Goal 2: Be a good student

Weekly Goal 3: College Applications

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I knocked 6 tasks off Trello which was good, I could have gotten more but plenty of the tasks required other people to sign things or for me to do them at home.

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I hugged a former chief justice

Goal 1: Physics Lab work complete
1 Deadline: 1:00
1 Obstacle:
1 Strategy:
1 Reflection: I went to the library after the lecture, finished the work, and all that is left to do is the write-up. This will be done over the weekend, as it is just copying down work I already have done and checked.

Goal 2: Decisions about presentation
2 Deadline:
2 Obstacle:
2 Strategy:
2 Reflection: I prefer not to write about this, and the conversation that we had in advisory take place of this.

Goal 3: Get stuff ready to send in applications for school
3 Deadline:
3 Obstacle:
3 Strategy:
3 Reflection: I have most everything printed out that I would need to send in, today I will fill out the forms, and tomorrow I will get the checks for the fees.

--------Weekly Goals--------
Weekly Goal 1: Finish Paper Reviews

Weekly Goal 2: Be a good student

Weekly Goal 3: College Applications

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Goal 1: Physics Lab
1 Deadline: 2:00
1 Obstacle:
1 Strategy:
1 Reflection: I did this by somewhere around 12:00, and feel confident with my report.

Goal 2: Learn an algorithm
2 Deadline: 2:00
2 Obstacle:
2 Strategy:
2 Reflection: I did not get to this by 2:00, but I have a target in mind. I am going to study an RNN, recurrent neural network. I think it has something to do with topology, and recursion, but that either is a: the bare basics or b: completely wrong. I will study this when I get home or after physics, depending on if I go to the gym right away. Now that I think of it, I probably will go home and do this after the gym.

Goal 3: Check Commonapp, do 1 thing at least
3 Deadline: 2:00
3 Obstacle:
3 Strategy:
3 Reflection: I did do this, I asked Caleb for a letter of recommendation, however, I just need to send the invite through the commonapp. I'll probably do that either right before the physics lab or directly after.

--------Weekly Goals--------
Weekly Goal 1: Finish Paper Reviews

Weekly Goal 2: Be a good student

Weekly Goal 3: College Applications

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Goal 1: Think about proof
1 Deadline: 3:00
1 Obstacle: Work
1 Strategy: Do it as a break task
1 Reflection: I worked with Derek for a bit and it was very useful, I have a better approach on where in linear algebra I may be looking. it may be time to revisit the essence series.

Goal 2: Do well on exam review
2 Deadline: 10:00
2 Obstacle: Sleep
2 Strategy: library @ 9:00 meet w/ Audrey
2 Reflection: I thought I did pretty well, and I am praying that I am right with this assessment.

Goal 3: Skim Intro paper
3 Deadline: 3:00
3 Obstacle: Paper difficult
3 Strategy: 3rd Block
3 Reflection: I did indeed do this, I got the intro very briefly skimmed and I know what the paper is going over. I skipped a lot, as I don't need to know why DL is cool, but I have a timeline of DNNs, and the different algorithms that are covered in the paper. I think a practical way of tackling this paper would be to just try to learn all the algorithms that are covered, and not even understand how deeply they work, but just have a general idea of the general idea of how the specific algorithms work.

--------Weekly Goals--------
Weekly Goal 1: Finish Paper Reviews

Weekly Goal 2: Be a good student

Weekly Goal 3: College Applications

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Goal 1: Read a Paper really fast now (just skim)
1 Deadline: 3:00
1 Obstacle:
1 Strategy:
1 Reflection: There's no way to read a paper really fast, but I did do this as fast as I possibly could have. The first paper I read was about predicting human behavior with deep neural networks. I very very abstractly understand what they are doing in that paper. They are creating an architecture where the input is a bimatrix normal-form game, and the output is the probability that a human player 1 will pick a choice. It's a very interesting paper, and I have a feeling I will be using a fair amount of their architecture.

Goal 2: Read another paper really fast (just skim)
2 Deadline: 3:00
2 Obstacle:
2 Strategy:
2 Reflection: I have a feeling before skimming this paper that the paper won't relate a ton to my project, but I still need to do some skimming before I make that conclusion.

Goal 3: Email Lu
3 Deadline: 3:00
3 Obstacle:
3 Strategy:
3 Reflection: I did this before 3:00, and that was good.

--------Weekly Goals--------
Weekly Goal 1: Finish Research Papers

Weekly Goal 2: Edit Exam

Weekly Goal 3: Finish Lab
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Goal 1: Read Research Paper
1 Deadline:
1 Obstacle:
1 Strategy:
1 Reflection: I did not finish the paper today, however I got a decent amount read anyways. I finished the first two sections of the paper. Unfortunately, I'm finding that research papers, surprise surprise, are difficult to read. So, I am working hard to make sure I can understand this paper, and a nice bonus is that this effort is being recognized, and I can get some reading logs out of it. I already have incentive to read all the papers, but now I have even more.

Goal 2: Physics Exam Write-up
2 Deadline: 10:00
2 Obstacle: Tired
2 Strategy: Do it and leave at 9:00
2 Reflection: I was able to get this done by the deadline, but the exam is updated to be due next Monday, so I'm going to redo it and make sure all my answers are good.


Unplanned goal: Re-evaluate current position of getting portfolios
Reflection: This was a good process for me to do today. I was able to map out all my remaining portfolios, and see everything I have left between now and next June. Luckily, Looking at this gave me a little more hope, as a lot of my credits are covered by my GRP, a lot of busy-work is covered by college classes, and after that I only have my auto-bio and two art portfolios left.

--------Weekly Goals--------
Weekly Goal 1: Finish Research Papers

Weekly Goal 2: Edit Exam

Weekly Goal 3: Finish Lab

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